Title :
Fractal error for detecting man-made features in aerial images
Author_Institution :
Comput. Sci. & Eng. Program, Louisville Univ., KY
fDate :
3/31/1994 12:00:00 AM
Abstract :
A technique is proposed for aiding photointerpreters in detecting man-made features in aerial reconnaissance images. The technique, which uses a metric called fractal error, is based on the observed propensity of natural image features to fit a fractional Brownian motion model. Man-made features usually do not fit this model well, and consequently the fractal error metric may be used as a discriminant function for detecting man-made scene features
Keywords :
feature extraction; image recognition; optical images; photographic applications; aerial images; aerial reconnaissance images; discriminant function; fractal error; fractal error metric; fractional Brownian motion model; man-made feature detection; man-made scene features; natural image features; photointerpreters;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940287
